Instructions to use amztheory/alpaca-code-java with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use amztheory/alpaca-code-java with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("tiiuae/falcon-7b-instruct") model = PeftModel.from_pretrained(base_model, "amztheory/alpaca-code-java") - Notebooks
- Google Colab
- Kaggle
Download adapter_model.safetensors from amztheory/alpaca-code-java: direct link, hf CLI and curl.
- Browser
- Download file 37.8 MB
-
https://huggingface.co/amztheory/alpaca-code-java/resolve/main/adapter_model.safetensors
- Command line
-
hf download hf://amztheory/alpaca-code-java/adapter_model.safetensors
-
curl -L -o adapter_model.safetensors https://huggingface.co/amztheory/alpaca-code-java/resolve/main/adapter_model.safetensors
37.8 MB
- Xet hash:
- f962ced543dcc4439b9d924ea7f23de22641f11e3ef003f818fa66b16f4af7b0
- Size of remote file:
- 37.8 MB
- SHA256:
- 1077158424d2b67442fcd5b58443874199574bb6347cdcf76f93f4665c813ee8
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